The invention provides a steel making factory multi-target scheduling plan compiling method considering molten iron supply time and molten iron resource utilization. The method comprises the following steps that a multi-target function and constraint conditions considering the molten iron supply condition are established, multiple Pareto optimal solutions about a decision variable are acquired by utilizing a multi-target genetic algorithm based on Pareto for iterative operation, and one concrete iterative process is that a matching scheme between charge and molten iron bottles is adopted to indicate chromosomes, and feasible solutions of all the chromosomes in the current population are acquired by utilizing a decoding heuristic method; a non-dominated solution construction method is designed to calculate non-dominated solutions of the feasible solutions; non-dominated hierarchical ranking is performed on the chromosomes corresponding to all the solutions and crowding distance between the solutions is calculated, and a parent population is selected; and selection, intersection and mutation are performed on the chromosomes in the parent population so that progeny populations are obtained. The problem of scheduling plan compiling considering the molten iron supply condition can be solved, and multiple Pareto optimal solutions are acquired so that decision makers are enabled to select more appropriate solutions to be applied to actual production.